Towards Sustainable Self-supervised Learning

Benchmark Model Rank Results
object-detection-on-coco-minivalTEC(VIT-B, Mask-RCNN)#54box AP: 54.6
self-supervised-image-classification-on-1TEC_MAE (ViT-L/16, 224)#13Top 1 Accuracy: 86.5%
semantic-segmentation-on-ade20kTEC (Vit-B, Upernet)#101Validation mIoU: 51.0
semantic-segmentation-on-imagenet-sTEC (ViT-B/16, 224x224, SSL+FT, mmseg)#1mIoU (val): 63.2mIoU (test): 62.5
semantic-segmentation-on-imagenet-sTEC (ViT-B/16, 224x224, SSL+FT)#3mIoU (val): 62.0
semantic-segmentation-on-imagenet-sTEC (ViT-B/16, 224x224, SSL, mmseg)#13mIoU (val): 46.1mIoU (test): 46.0
semantic-segmentation-on-imagenet-sTEC (ViT-B/16, 224x224, SSL)#14mIoU (val): 42.9